Aws Ai Lead Engineer

Experian

Hyderabad, India
On-site
Scalable aws infrastructure
Infrastructure as code (terraform, cloudformation, cdk)
Ci/cd pipelines (jenkins, harness, github actions)
Design and manage scalable AWS infrastructure using Infrastructure as Code Terraform, CloudFormation, CDK

Job Summary

  • Design and manage scalable AWS infrastructure using Infrastructure as Code Terraform, CloudFormation, CDK.
  • Build and manage containerized workloads using Docker and Kubernetes EKS, implementing GitOps workflows.
  • Leverage AI tools like Claude and Code Copilot for automation script generation and pipeline optimization, and use AWS Bedrock AI services for intelligent automation.

Matching Summary

Design and manage scalable AWS infrastructure using Infrastructure as Code Terraform, CloudFormation, CDK.

Skills & Requirements

Must-have

  • Scalable AWS infrastructure
  • Infrastructure as Code (Terraform, CloudFormation, CDK)
  • CI/CD pipelines (Jenkins, Harness, GitHub Actions)
  • Containerization (Docker, Kubernetes EKS)
  • Observability (CloudWatch, Prometheus, Grafana, OpenTelemetry)
  • AI tools for automation
  • AWS Bedrock AI services

Nice-to-have

  • Developer experience (DevEx)
  • Self-service platforms
  • Platform engineering standards
  • FinOps practices
  • Reliability engineering practices

Key Requirements

  • AI Engineer

Work Rights

Not specified

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